Investor profile

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Analytics Ventures

VC

USAI/MLHealthtechFintechEnterpriseDeep Tech

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Investment thesis

Analytics Ventures is a San Diego-based venture studio fund dedicated to the inception of new ventures harnessing innovations in Artificial Intelligence. The firm provides front-to-end infrastructure to ideate, form, launch, and fund brand-new companies in AI — with its own in-house AI lab, technology, back-office, and marketing setup, taking companies from formation to public launch in as little as six months. It operates as a closed-end venture fund and AI venture studio, assembling distributed data science teams to build ventures across healthcare, financial services, sales enablement, and edge/IoT domains. Analytics Ventures partners with corporations, researchers, and entrepreneurs, providing a proven execution model and best-in-class AI expertise. The firm believes that 'Artificial Intelligence is still in the early stages of its maturity cycle, and as such, the biggest value in the field continues to come from entrepreneurs, researchers, and early-stage investors.' To date, the fund's ecosystem has attracted $20 million combined to its studio and portfolio companies.

Notable quotes

AlphaTrAI consistently outperformed top hedge funds during back testing due to the proprietary end-to-end trading algorithms which provide superior event detection, price prediction, stock selection, and trade execution.

Navid Alipour · Private Equity Wire / PR Newswire, December 2018 · 2018-12-10

While we're VCs, and we're the way we're — our law firm or attorneys Cooley formed us — we're a plain vanilla venture capital fund, we're VCs, but we're frankly prouder of saying we're entrepreneurs. And so, our model under this venture studio model to help create and build companies, we roll up our sleeves.

Navid Alipour · The Savage Leader Podcast, Episode 8 · 2021-06-01

It's important to train your data sets, because at the end of the day, artificial intelligence — as much as some will say the robots are gonna take over the world — we have a ways to go before that happens. You still have to train it. Machine learning is: you feed it the data, you clean it, you process it, and that's why we say garbage in, garbage out.

Navid Alipour · Talend Truth Be Known Podcast, Season 3 Episode 4

Team

Navid Alipour

Co-Founder & Managing Partner

AI/MLHealthtechFintech

Blaise Barrelet

Co-Founder & Partner

AI/MLEnterpriseDeep Tech

Ilkay Altintas

Venture Partner

AI/MLDeep Tech

Steve Gold

Venture Partner

Enterprise

Matt Seefeld

Venture Partner

EnterpriseAI/ML

Olga Kubassova

Venture Partner

HealthtechAI/ML

Recent investments

CompanyRoundSizeDate
CureMetrixSeed2014-08-01
CureMatchSeed2015-10-01
TinoroSeed2016-10-07
AlphaTrAISeed2018-12-10
Dynam.AISeed
KazuhmSeed
XendeeSeed
LIASeed$400k2013-03-07
Apmetrix AnalyticsSeed2013-09-20
AdTheosSeed

Frequent co-investors

VC firmDeals together
La Costa Investment Group2

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